Most Read: Intel-Backed Generative AI Company Launches Aerospace Platform at Paris Air Show; Agentic AI Helps Organizations Scale Cybersecurity Faster: EY Study

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Most Read: Intel-Backed Generative AI Company Launches Aerospace Platform at Paris Air Show; Agentic AI Helps Organizations Scale Cybersecurity Faster: EY Study


Here are the most-read stories on AI Business this week.

Intel-Backed Generative AI Company Launches Aerospace Platform at Paris Air Show

Intel’s generative AI spinout Articul8 has unveiled a new AI system the company said “thinks like an aerospace engineer.”

Launched last week at the Paris Air Show, the new platform combines AI agents to solve aerospace production challenges in real-time.

In a statement, the company said the platform demonstrates AI’s ability to “actively reason, collaborate and solve engineering problems across the entire aerospace life cycle, from conceptual design to manufacturing execution.”

In particular, the system is designed to deal with typical issues seen about module interoperability when assembling aircraft, where parts from different suppliers are typically used to create a final product. 

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Agentic AI Helps Organizations Scale Cybersecurity Faster: EY Study

In an era of tightening budgets and expanding threats, cybersecurity leaders are turning to agentic AI as their secret weapon. A new study reveals how forward-thinking organizations are not just surviving but thriving by streamlining operations and reinvesting savings into innovation.

According to EY’s 2025 Global Cybersecurity Leadership Insights Study, companies implementing AI-driven automation are seeing dramatic efficiency gains, with the average organization saving $1.7 million annually while simultaneously strengthening its security posture. The research highlights a significant shift as automation and simplification become essential strategies rather than optional approaches for maintaining effective security operations.

Related:HPE and Nvidia Unveil New AI Factory Technology

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UK Data Centers Face AI Sustainability Challenge

The rapid growth of artificial intelligence has created unprecedented demands on data center infrastructure, particularly regarding power availability and sustainability. At a recent industry roundtable, experts discussed the significant challenges facing the U.K.’s data center sector as it attempts to support AI innovation while maintaining environmental commitments.

“One of the greatest challenges we have is the availability of power and the time at which it can be made available,” said Richard Clifford, vice president of sales and solutions EMEA at Salute, a company that provides data center industry insights, adding that the U.K. government’s AI hubs scheme faces significant obstacles in traditional data center locations.

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MIT Creates AI Model that Trains Itself

Researchers at MIT have developed a novel framework that allows large language models to train themselves, a significant leap forward for AI development. 

Related:MIT Uses Generative AI for Robotic Design

The new framework, called Self-Adapting Language Models, or SEAL, enables LLMs to generate their own training data and instructional updates, allowing them to continually revise their internal systems without human intervention. 

The novel ability to self-improve is, the team said, a long-sought-after milestone in the field. 

“LLMs are powerful but static; they lack mechanisms to adapt their weights in response to new tasks, knowledge, or examples,” the team said in the paper. “We introduce SEAL, a framework that enables LLMs to self-adapt by generating their own finetuning data and update directives…enabling lasting adaptation.”

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Self-Driving AI Company Raises Another $600 Million

Self-driving software company Applied Intuition has closed a $600 million series F funding round, taking its valuation to $15 billion.

That constitutes more than a doubling in value of the Silicon Valley start-up in just over a year, and sees BlackRock come on board as a major new investor alongside Kleiner Perkins, with other new names including the Qatar Investment Authority, Abu Dhabi Investment Council and Greycroft also participating.

Related:MIT Creates AI Model that Trains Itself

In March 2024, Applied Intuition closed a $250 million funding round, which saw the firm valued at $6 billion.

Since then, the company has become an increasingly prominent player as AI has become ever more integral in the efforts to introduce autonomous driving, adding deals with the likes of automakers Porsche and Audi, and commercial vehicle manufacturer Isuzu, to its growing roster of collaborations 

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